Triple

T16033605
Position Surface form Disambiguated ID Type / Status
Subject Gamo-Gofa-Dawro E388910 entity
Predicate hasPart P35 FINISHED
Object Oyda language
The Oyda language is an Afroasiatic Omotic language spoken by the Oyda people in southwestern Ethiopia.
E1190067 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oyda language | Statement: [Gamo-Gofa-Dawro, hasPart, Oyda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyda language
Context triple: [Gamo-Gofa-Dawro, hasPart, Oyda language]
  • A. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • B. Ta Oi language
    The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
  • C. Nyoro language
    The Nyoro language is a Bantu language spoken primarily by the Banyoro people in western Uganda.
  • D. Yatye language
    The Yatye language is a lesser-known Niger-Congo language spoken by a small community in Nigeria, belonging to the Idomoid branch.
  • E. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oyda language
Triple: [Gamo-Gofa-Dawro, hasPart, Oyda language]
Generated description
The Oyda language is an Afroasiatic Omotic language spoken by the Oyda people in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oyda language
Target entity description: The Oyda language is an Afroasiatic Omotic language spoken by the Oyda people in southwestern Ethiopia.
  • A. Yola language
    The Yola language was an extinct West Germanic language once spoken in County Wexford, Ireland, that preserved many archaic features derived from early English settlers.
  • B. Ta Oi language
    The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
  • C. Nyoro language
    The Nyoro language is a Bantu language spoken primarily by the Banyoro people in western Uganda.
  • D. Yatye language
    The Yatye language is a lesser-known Niger-Congo language spoken by a small community in Nigeria, belonging to the Idomoid branch.
  • E. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833a5aa88190a5cc3f82d55f5b62 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf373f548190abfc93aa238b97fd completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd13281208190a0c882563031b0eb completed May 10, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1e3cf348190a75b6471e0c1a4d2 completed May 10, 2026, 12:31 a.m.
Created at: April 10, 2026, 4:56 a.m.